Skip to content Skip to sidebar Skip to footer

Artificial intelligence

Machine learning is a branch of artificial intelligence whose objective is the automatic development of models that allow the behaviour of a process to be estimated.

The development of these models is based on pre-programmed algorithms that are configured during the training stage, in which data from the observation of the process to be modelled are used.

Once these algorithms have been adjusted, they allow the behaviour of the process to be generalised without the need to study and implement it. It is this versatility that makes this technology a suitable solution applicable to a multitude of fields:

  • Meteorological forecasting: avoiding the complex modelling of atmospheric phenomena, machine learning is capable of interpreting the observation of different meteorological variables to provide, for example, an accurate estimate of the production of electrical energy in a wind farm.
  • Defectology in industry: the combination of advanced image processing techniques with artificial intelligence techniques provides a solution suitable for carrying out the necessary quality controls in the final stages of the industrial process.
  • Taphonomy: the combination of three-dimensional modelling techniques with artificial intelligence algorithms makes it possible to pinpoint the cause of different types of damage, making it a useful tool in fields such as archaeology, criminology and even ecology.